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Read articleStart by describing the current workflow, desired outcome, systems involved, and the problem that needs to be solved.
Read articleCeles7a designs reliable API integrations, AI-assisted workflows, automation, and integration modernization solutions.
Read articleMessages are reviewed Monday–Friday and normally answered by the next business day in India Standard Time.
Read articleA useful estimate needs the workflow boundary, applications, volumes, constraints, dependencies, and acceptance expectations.
Read articleCeles7a works with business systems that provide suitable APIs, webhooks, events, queues, databases, files, or supported automation interfaces.
Read articleAnswers to common questions about service fit, systems, estimates, pricing, delivery, security, remote work, and support.
Read articlePricing is based on confirmed scope, delivery risk, dependencies, uncertainty, and the level of implementation or support required.
Read articleDelivery normally moves through discovery, design, implementation, verification, release, and handover, with timing shaped by project dependencies.
Read articleDesign a scalable RESTful API architecture and generate OpenAPI specifications for legacy database exposure.
View serviceDevelop, secure, and deploy a custom RESTful API based on existing architectural specifications.
View serviceDefine a robust API governance strategy to align your teams and ensure scalable, secure API development.
View serviceFacilitate a working session to define a client's API governance strategy and create detailed data-mapping specifications between systems.
View serviceBuild, secure, and document a custom RESTful API to expose data from a legacy database to modern web or mobile apps.
View serviceCreate detailed data-mapping specifications between systems to ensure smooth integration and data consistency.
View serviceJump in to troubleshoot, fix bugs, or optimize a specific bottleneck in an existing API or integration pipeline.
View serviceReview business requirements and provide a detailed technical effort estimate, timeline, and budget breakdown for complex API projects.
View serviceInitial discovery, scoping, and data mapping for a single point-to-point integration.
View serviceDevelopment and deployment of a single point-to-point integration flow.
View serviceBuild and deploy a secure connection between two specific systems (e.g., syncing a CRM like HubSpot with an ERP system).
View serviceInitial mandatory discovery session to align requirements and define scope.
View serviceIn distributed systems, network timeouts don't mean failure—they usually mean duplicate executions. Learn why webhook consumers must implement idempotency keys, explore the anatomy of race conditions, and implement a production-ready ASP.NET Core & Redis pattern.
Read blogAI applications are not just about calling an LLM. A real solution needs a user interface, backend API, orchestration layer, prompt logic, RAG/knowledge search, tool calling, MCP client and servers, external systems, monitoring, guardrails, and evaluation. This architecture helps AI reason, access trusted data, use tools safely, and deliver reliable business outcomes.
Read blogA practical explanation of how SQL Server stores users, roles, permissions, schemas, and objects, and how to inspect database access using system views.
Read blogAzure Integration Services provides flexible options for building cloud-based integrations, from simple startup workloads to enterprise-grade platforms. Services like Logic Apps, Azure Functions, and Service Bus offer different plans, including Consumption, Standard, Basic, and Premium. The right choice depends on actual business and technical needs such as volume, security, networking, scalability, and reliability. Cost optimization is not about choosing the cheapest plan, but choosing the right plan for the right requirement.
Read blogAzure Logic Apps is excellent for orchestrating integration workflows, but some scenarios are easier to manage with code. This blog explains how Azure Functions can complement Logic Apps by handling complex validation, custom transformations, data enrichment, reusable business logic, and file processing. By keeping Logic Apps as the orchestration layer and using Azure Functions for custom processing, integration solutions can become cleaner, more reusable, easier to test, and simpler to maintain.
Read blogSaaS has transformed how startups and enterprises adopt software with its pay-as-you-go model and scalability. However, as systems become distributed, integration becomes critical. Choosing the right SaaS product is not just about features—it’s about how well it fits into your ecosystem and communicates with other systems. Strong API and event-driven capabilities are essential to ensure seamless data flow and long-term scalability.
Read blogAzure AI Foundry brings together Azure OpenAI, AI Services, and Content Understanding into a single platform, offering access to 11,000+ models. It allows you to create AI projects with multiple agents, each tailored for specific use cases. A key capability is agent actions, where agents can trigger workflows such as Azure Logic Apps to interact with backend systems like ERP and CRM. This enables reuse of existing integrations while letting AI act as a decision layer. Although still evolving, it shows strong potential for connecting AI with real business processes.
Read blogAzure Logic Apps is evolving with agentic capabilities, introducing conversational and autonomous workflows. Conversational workflows rely on human input to guide execution, while autonomous workflows operate based on triggers and AI-assisted decisions within defined boundaries. By combining model inputs with external data, these workflows become more context-aware. While promising, current implementations show some inconsistencies, as the feature is still in preview. It represents an important step toward more adaptive, AI-driven integrations.
Read blogAzure Logic Apps Standard includes an AI-assisted capability that allows developers to interact with their workflows and ask questions directly within the development environment. Developers can request explanations of workflow steps, discover available connectors for specific integration scenarios, and receive guidance on recommended integration patterns. This feature helps simplify complex workflows, improves understanding of existing integrations, and enables developers to design and troubleshoot integration solutions more efficiently.
Read blogAzure Logic Apps is a core service in Azure Integration Services for automating workflows and orchestrating integrations with low-code capabilities. It is available in two main hosting options—Consumption and Standard—each suited to different needs based on scenario, performance, and hosting preferences.
Read blogSend us a message. We review messages Monday–Friday and normally reply by the next business day in India Standard Time.
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